A data analysis agent answers questions about a spreadsheet or dataset by writing and running code, then reporting numbers and charts.
In plain words
You upload a file such as a CSV or Excel sheet and ask a question in plain words. Rather than guessing from the text, the model writes a short program, runs it in a sandbox, and reads the output. The answer comes back with the calculations and any charts it made. Libraries such as PandasAI bring the same idea to Python data frames.
A quick example
PandasAI's readme loads a companies CSV file and asks, in plain words, for the average revenue by region. It then shows a harder question: the total sales of the top three countries by sales.
Where you'll meet it
- Quick answers from business spreadsheets.
- Exploring a new dataset before deeper analysis.
Related
Sources
- DocsCode execution tool, Anthropic (Claude Platform Docs) · read 29 Sept 2026
- Docspandas-ai, Sinaptik AI (GitHub) · read 29 Sept 2026
Checked by WhatIsAI against the sources above · 29 Sept 2026. Spotted an error? Report it.